Machine Learning and 3D Image-Based Modeling for Real-Time Body Weight and Body Composition Estimation During Emergency Medical Care: Study 2

Withdrawn before enrolling

Conditions studied: Body Weights and Measures, Body Weight in the Overweight and Obese Class - I Population, Weight Estimation, Emergency Drug Dosing

In brief

The goal of this prospective crossover simulation study is to evaluate the accuracy and usability of a 3D camera weight estimation system during simulated emergency care in adult simulated patients, when used by emergency physicians. The main questions the study aims to answer are: * to evaluate the accuracy of 3D camera weight estimation during simulated emergency care, when compared with standard methods * to evaluate the usability of 3D camera weight estimation during emergency care, when compared with standard methods * to evaluate the inter-user reliability of 3D camera weight estimates Volunteers for simulated patients will be required to have anthropometric measurements, a DXA scan, and 3D camera weight estimates. Physician volunteers will need to participate in simulated emergency scenarios during which weight-based therapy must be administered. There will be no interventions.

Key facts

Study ID
NCT06646133
Run by
Florida Atlantic University
People needed
0
Starts
2027-07-01
Expected to finish
2028-02-28
Last updated by the study team
2025-12-19

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: accepted.

Where it is running

Full record on ClinicalTrials.gov

Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.